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首页> 外文期刊>BMC Medical Informatics and Decision Making >Evaluating genomic tests from bench to bedside: a practical framework
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Evaluating genomic tests from bench to bedside: a practical framework

机译:从工作台到床边评估基因组测试:实用的框架

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The development of genomic tests is one of the most significant technological advances in medical testing in recent decades. As these tests become increasingly available, so does the need for a pragmatic framework to evaluate the evidence base and evidence gaps in order to facilitate informed decision-making. In this article we describe such a framework that can provide a common language and benchmarks for different stakeholders of genomic testing. Each stakeholder can use this framework to specify their respective thresholds for decision-making, depending on their perspective and particular needs. This framework is applicable across a broad range of test applications and can be helpful in the application and communication of a regulatory science for genomic testing. Our framework builds upon existing work and incorporates principles familiar to researchers involved in medical testing (both diagnostic and prognostic) generally, as well as those involved in genomic testing. This framework is organized around six phases in the development of genomic tests beginning with marker identification and ending with population impact, and highlights the important knowledge gaps that need to be filled in establishing the clinical relevance of a test. Our framework focuses on the clinical appropriateness of the four main dimensions of test research questions (population/setting, intervention/index test, comparators/reference test, and outcomes) rather than prescribing a hierarchy of study designs that should be used to address each phase.
机译:基因组测试的发展是近几十年来医学测试中最重要的技术进步之一。随着这些测试变得越来越可用,也需要一个务实的框架来评估证据基础和证据差距,以促进明智的决策。在本文中,我们描述了一个可以为基因组测试的不同利益相关者提供通用语言和基准的框架。每个利益相关者可以根据自己的观点和特定需求,使用此框架来指定各自的决策阈值。该框架适用于广泛的测试应用程序,并且有助于基因组测试的监管科学的应用和交流。我们的框架建立在现有工作的基础上,并纳入了医学测试(诊断和预后)研究人员以及基因组测试人员普遍熟悉的原理。该框架围绕基因组测试开发的六个阶段进行组织,该阶段从标记识别开始,到种群影响结束,并突出了建立测试的临床相关性需要填补的重要知识空白。我们的框架侧重于测试研究问题的四个主要方面(人口/设置,干预/指数测试,比较者/参考测试和结果)的临床适用性,而不是规定应该用于解决每个阶段的研究设计层次。

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